Fintech big data analytics platform

Background

A leading fintech analytics provider relied on high-volume data processing and ML workflows to support its enterprise customers. Growing demand required rapid engineering expansion.

Challenge

Roadmap delays due to lack of engineering capacity
Difficulty hiring senior developers fast enough
Increasing technical debt slowing feature delivery
Pressure to scale cloud and data infrastructure

Solution

SPG supplied dedicated engineering teams operating as an extension of the client’s internal R&D organization.

Built cross-functional squads specializing in Java, Python, C# and cloud-native development
Improved backend pipelines and microservices powering fintech analytics workflows
Optimized data-processing flows across AWS and GCP
Introduced automated test suites and CI/CD pipelines for predictable release cycles
Enhanced API reliability and internal tools used by product teams

Implementation

SPG designed onboarding pipelines, delivery playbooks, collaboration models and DevOps automation aligned with the client’s enterprise engineering standards.